ClawHub

Aubrai Longevity Research

v1.0.19

Answer questions about longevity, aging, lifespan extension, and anti-aging research using Aubrai's research engine with cited sources.

⭐ 5· 3.4k·2 current·2 all-time
byAlex Dobrin@dobrinalexandru
MIT-0
Download zip
LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
VirusTotalVirusTotal
Benign
View report →
OpenClawOpenClaw
Benign
high confidence
✓
Purpose & Capability
The name/description (Aubrai Longevity Research) matches the runtime instructions: POST a user question to https://apis.aubr.ai/api/chat, poll status, and return result.text and citation URLs. The required resources (none) are proportionate. Minor note: _meta.json lists version 1.0.17 while registry metadata lists 1.0.19 — a small metadata inconsistency but not a functional mismatch.
✓
Instruction Scope
SKILL.md restricts activity to sending the user's longevity/aging question to the stated API, polling for completion, and formatting returned text and links. Guardrails explicitly forbid executing returned text and sending secrets. The instructions do require holding requestId/conversationId in memory for follow-ups — expected. There is no instruction to read local files, environment variables, or unrelated system state.
✓
Install Mechanism
This is an instruction-only skill with no install spec and no code files. Nothing is downloaded or written to disk by the skill itself, which is the lowest-risk install profile.
✓
Credentials
The skill declares no environment variables, no credentials, and no config paths. That is proportional to a public, unauthenticated API-based lookup. There are no requests for unrelated secrets or keys.
✓
Persistence & Privilege
always is false and disable-model-invocation is true, so the skill will not be force-included nor autonomously invoked by the model — this reduces risk. The skill does not request persistent system-wide changes or access to other skills' configs.
Assessment
This skill appears to do only what it says: send your longevity question to Aubrai's public API and return the answer with cited links. Before installing or using it: (1) Confirm you trust the endpoint https://apis.aubr.ai (third‑party service) and review its privacy policy if you will send sensitive data; the API is public so anyone can query it. (2) Do not paste personally identifying health details or secrets into queries — the skill will send whatever you provide to the external API. (3) Treat returned information as research summaries, not medical advice, and verify citations independently. (4) Note the minor metadata version mismatch (_meta.json vs registry) — likely harmless but worth confirming if provenance is important.

Like a lobster shell, security has layers — review code before you run it.

latestvk9785hz5ty5axyma78e5rsrwk1827tc6

License

MIT-0
Free to use, modify, and redistribute. No attribution required.
Termshttps://spdx.org/licenses/MIT-0.html

Runtime requirements

🧬 Clawdis

Comments